- 07 Dec 2022
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Data Source - Rtoaster insight+ Google Account Integration
- Updated on 07 Dec 2022
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This is a machine-translated version of the original Japanese article.
Please understand that some of the information contained on this page may be inaccurate.
summary
This is a help page for setting up data transfer from Rtoaster insight+.
Supported Protocols
- Data Transfer (Embulk)
- File aggregation
precondition
Rtoaster insight+ manages data with BigQuery, which is built on the Tokyo region (asia-northeast1) of the Google Cloud Platform (hereinafter abbreviated as GCP).
BigQuery for Rtoaster insight+ only uses the following GCP projects:
Project Name | Role |
---|---|
rtoaster-insight | It will be linked when linking your Google account. |
rtoaster-data | Contains the corresponding data in the Rtoaster table on the Rtoaster insight+ screen. |
bp-pica-prd | Contains data corresponding to a user-defined table on the Rtoaster insight+ screen. |
Setting items
STEP1 Basic settings
Item | namerequireddefault | valuecontent | |
---|---|---|---|
Rtoaster insight+ Google Account Connection Information | Yes | From the connection information registered in advance, select the one that has the necessary permissions for this transfer setting. Please refer to here for how to set the connection information. | |
Data export destination Google Cloud Storage URI | Yes | Source Rtoaster insight+ Google account integration requires you to temporarily export data to the GCS bucket you created. Therefore, please specify the GCS bucket path for customers with linked Google accounts. | |
.SQL | Yes | Legacy SQL is not available. For tables that can be used, please check the GCP project name, dataset name, and table name below. | |
File format for temporary data | Yes | .CSV | Please specify the file format of the data to be temporarily stored in GCS. |
Temporary data deletion policy | Yes | delete | Specify whether you want to delete temporary data stored in GCS. Temporary data is created each time you transfer data, so we recommend that you specify that you delete it. |
How to check GCP project name, dataset name, and table name
- Check the GCP project by moving to the BigQuery console from here.
Please specify either GCP projectrtoaster-dataプロジェクト
orbp-pica-prdプロジェクト
that contains Rtoaster insight+ data.
* Since the permission to execute data in Rtoaster insight+ isrtoaster-insightプロジェクト
granted to , if you want tortoaster-insightプロジェクト
execute SQL, please execute it with the specified state.
- Check the dataset name and table name as follows.
GCP project name → dataset name → It is hierarchical like table name.
supplement
Precautions
- The cost of the execution job is included in the cost of Rtoaster insight+.